Turkish Researchers Develop AI Self-Efficacy Scale to Gauge University Students' Confidence

Researchers at Koç University School of Nursing have made a significant contribution to the field of human-computer interaction by developing a Turkish adaptation of the Artificial Intelligence Self-Efficacy Scale (AISES). Led by Associate Professor Remziye Semerci Şahin and Assistant Professor Seda Güney, the team aimed to evaluate the psychometric properties of the adapted scale among university students. The study's findings have been published in the International Journal of Human–Computer Interaction, providing valuable insights into the confidence levels of Turkish students in using AI technologies.

As AI becomes increasingly ubiquitous, it's essential for educational institutions to develop culturally sensitive and effective strategies for teaching AI-related skills.

The development of the AISES-Turkish adaptation is a crucial step in understanding the nuances of AI self-efficacy in diverse cultural contexts. By examining the confidence levels of university students in using AI, the researchers hope to identify areas where educational institutions can improve their curricula and provide more effective support for students. This, in turn, can help bridge the gap between the potential benefits of AI and the actual skills and knowledge of the next generation of professionals.

The study's results have significant implications for the education sector, particularly in the context of Turkey. As AI continues to transform various industries, it is essential for educational institutions to equip students with the necessary skills and confidence to thrive in an AI-driven world. By adapting the AISES to the Turkish context, the researchers have taken a crucial step towards addressing this challenge.

The development of AI self-efficacy scales like AISES-Turkish adaptation can also have broader implications for the global education community. As AI becomes increasingly ubiquitous, it is essential for educational institutions to develop culturally sensitive and effective strategies for teaching AI-related skills. By sharing their research and findings, the Koç University team can contribute to a global conversation about AI education and help shape the future of AI literacy.